Results 11 to 20 of about 1,559 (184)

Human Activity Classification Based on Dual Micro-Motion Signatures Using Interferometric Radar

open access: yesRemote Sensing, 2023
Micro-Doppler signatures obtained from the Doppler radar are generally used for human activity classification. However, if the angle between the direction of motion and radar antenna broadside is greater than 60°, the micro-Doppler signatures generated ...
Shahid Hassan   +5 more
doaj   +1 more source

Realistic Simulation of Drone Micro-Doppler Signatures

open access: yes2021 18th European Radar Conference (EuRAD), 2022
This paper presents a novel approach to simulating micro-Doppler signatures caused by drones. The focus of this work is to produce realistic signatures that represent the variation that is observed in live radar measurements. In order to accomplish this, the kinematics and dynamics of a drone flight are modelled to capture the changing rotor rotation ...
Bennett, Cameron   +2 more
openaire   +1 more source

Exploring Radar Micro-Doppler Signatures for Recognition of Drone Types

open access: yesDrones, 2023
In this study, we examine the use of micro-Doppler signals produced by different blades (i.e., puller and lifting blades) to aid in radar-based target recognition of small drones.
Jun Yan   +4 more
doaj   +1 more source

Dynamic RCS Estimation according to Drone Movement Using the MoM and Far-Field Approximation [PDF]

open access: yesJournal of Electromagnetic Engineering and Science, 2021
Micro-Doppler signatures from the rotating propellers of a drone can be utilized to distinguish the drone from clutter or airborne organisms with similar radar cross section (RCS) levels, such as birds and bats.
Dong-Yeob Lee, Jae-In Lee, Dong-Wook Seo
doaj   +1 more source

Clustering-Driven DGS-Based Micro-Doppler Feature Extraction for Automatic Dynamic Hand Gesture Recognition

open access: yesSensors, 2022
We propose in this work a dynamic group sparsity (DGS) based time-frequency feature extraction method for dynamic hand gesture recognition (HGR) using millimeter-wave radar sensors.
Chengjin Zhang   +5 more
doaj   +1 more source

SP-WVD with Adaptive-Filter-Bank-Supported RF Sensor for Low RCS Targets’ Nonlinear Micro-Doppler Signature/Pattern Imaging System

open access: yesSensors, 2022
In this study, the authors present the accurate imaging of the behavior of simultaneous operations of multiple low radar cross-section (RCS) aerial targets.
Harish C. Kumawat, A Arockia Bazil Raj
doaj   +1 more source

Examination of Drone Micro-Doppler and JEM/HERM Signatures [PDF]

open access: yes2020 IEEE Radar Conference (RadarConf20), 2020
Radars monitoring small targets often must increase their integration times to achieve sufficient signal-to-noise ratio (SNR) for maintaining a viable track. These longer integation times can prevent micro-Doppler signature extraction and instead result in Doppler signatures consisting of spectral lines to the radar's higher-level processing.
Markow, John, Balleri, Alessio
openaire   +2 more sources

Augmentation of Doppler Radar Data Using Generative Adversarial Network for Human Motion Analysis [PDF]

open access: yesHealthcare Informatics Research, 2019
ObjectivesHuman motion analysis can be applied to the diagnosis of musculoskeletal diseases, rehabilitation therapies, fall detection, and estimation of energy expenditure.
Ibrahim Alnujaim, Youngwook Kim
doaj   +1 more source

A Trajectory-Driven 3D Channel Model for Human Activity Recognition

open access: yesIEEE Access, 2021
This paper concerns the design, analysis, and simulation of a 3D non-stationary channel model fed with inertial measurement unit (IMU) data. The work in this paper provides a framework for simulating the micro-Doppler signatures of indoor channels for ...
Ahmed Abdelgawwad   +2 more
doaj   +1 more source

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